NATURAL TRANSMISSION OF<i>CRYPTOSPORIDIUM PARVUM</i>BETWEEN DAMS AND CALVES ON A DAIRY FARM
Bibliographic record
Abstract
The transmission of Cryptosporidium parvum between dams and their respective calves was studied. For this purpose, fecal specimens taken from the rectum of preparturient, parturient, and postparturient dams were analyzed for C. parvum oocysts. Fecal specimens were taken from the newborn calf 4 hr after birth. Because the environment can be a source of contamination to the animals, specimens taken from inside and outside the barn were analyzed. The sucrose concentration method together with the Zielh-Nielsen acid-fast staining method were employed to increase the chances of oocyst detection. We are reporting that at parturition, the dams shed a higher number of oocysts by comparison to the preparturient and postparturient periods. Neonates acquire the infection at birth mainly because of the high number of oocysts shed by the dams at parturition. The management practice of moving calves 4 hr after birth away from the dams and the barn reduces the number of clinical cases because they are no longer in contact with an environment that is highly contaminated. We hypothesize that the increase in the number of oocysts sheds by dams at parturition might be due to a depression of the T helper 1-type of immune response during that period.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".